{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1> Creating the Best Fantasy Basketball Lineup </h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Introduction </h2>\n",
    "\n",
    "Fantasy basketball, and fantasy sports in general, is an extremely popular game where participants compete against each other by virtually selecting players from real upcoming games to create a lineup. Typically, the goal is to assemble the best all-star team, meaning participants are allowed to select players from different professional teams that compete in the same league to play in each coach's virtual team.\n",
    "\n",
    "A basketball team typically consists of five players: a point guard (PG), a shooting guard (SG), a small forward (SF), a power forward (PF), and a center (C). Each player, assigned to these positions, can have different characteristics and objectives in the basketball game. A shooting guard might specialize in scoring, while a point guard's objective might be to run the game-plan and distribute the ball efficiently. To help compare players across different positions we need to find a common metric to assess each player's performance -- and we'll use fantasy points to do this. \n",
    "\n",
    "In a follow-on example we will extend the optimization model to reflect actual fantasy basketball competitions found on major sites."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Objective and Prerequisites </h2>\n",
    "\n",
    "In this example, we'll take on the role of a basketball coach and learn how to find the optimal lineup of National Basketball Association (NBA) players in the context of fantasy basketball. The goal is to select the five players who are going to perform the best in the NBA games played on December 25, 2017, by simultaneously satisfying player and position eligibility and budget constraints.\n",
    "\n",
    "We aim to demonstrate that machine learning and mathematical optimization are closely connected, and how they can be integrated to derive optimal decisions. Simply starting from a dataset, we will apply machine learning techniques to make predictions about the performance of basketball players. But when taking into account the problem constraints, directly utilizing these forecasts to make player selections isn't straightforward. This is where mathematical optimization and the Gurobi Optimizer thrive to prove what the best viable lineup is, by formulating and solving a mixed-integer programming (MIP) problem that will maximize the lineup's **total fantasy points**.\n",
    "\n",
    "This example is for beginners in mathematical optimization who may have some experience in data handling and predictive modeling and experience using Python.\n",
    "\n",
    "The presented problem requires the installation of the following Python packages:\n",
    "\n",
    "- **pandas** for data analysis and manipulation \n",
    "- **numpy** for calculations\n",
    "- **matplotlib** and **seaborn** for plotting and visualizing information\n",
    "- **scikit-learn** for accessing data science predictive tools\n",
    "- **gurobipy** for utilizing Gurobi to formulate and solve the optimization problem"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Problem Statement and Solution Approach</h2>\n",
    "\n",
    "Given the regular season historical performances (box scores) of NBA players for the seasons 2016-2017 and 2017-2018, the eligible positions for each of the players, and a budget restriction on how much total salary we are allowed to spend for our team, select the five NBA players who are going to have the best performance on the NBA games played on Christmas day of the 2017-2018 season.\n",
    "\n",
    "Among the eligible players that are going to play that day, we need to select a point guard, a shooting guard, a shooting forward, a power forward, and a center.\n",
    "\n",
    "The solution to the problem consists of two components: 1) **fantasy points forecast** and 2) **lineup optimization**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Fantasy Points Forecast </h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start by loading the necessary libraries to solve our problem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install gurobipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd                                       #importing pandas\n",
    "import numpy as np                                        #importing numpy\n",
    "import matplotlib.pyplot as plt                           #importing matplotlib \n",
    "import seaborn as sns                                     #importing seaborn\n",
    "from sklearn.model_selection import train_test_split      #importing scikit-learn's function for data splitting\n",
    "from sklearn.linear_model import LinearRegression         #importing scikit-learn's linear regressor function\n",
    "from sklearn.neural_network import MLPRegressor           #importing scikit-learn's neural network function\n",
    "from sklearn.ensemble import GradientBoostingRegressor    #importing scikit-learn's gradient booster regressor function\n",
    "from sklearn.metrics import mean_squared_error            #importing scikit-learn's root mean squared error function for model evaluation\n",
    "from sklearn.model_selection import cross_validate        #improting scikit-learn's cross validation function\n",
    "import gurobipy as gp                                     #importing Gurobi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "We are going to use two publicly available datasets from [Kaggle](https://www.kaggle.com). The [first dataset](https://www.kaggle.com/pablote/nba-enhanced-stats) contains the historical information of the players' and teams' performances and will be for training and testing our predictive model. The [second dataset](https://www.kaggle.com/alandu20/daily-fantasy-basketball-draftkings) includes the salaries of players, as well as their eligible position. Note that *salaries* here are determined by sites that host the fantasy sports contests and have nothing to do with what the players are actually paid. \n",
    "\n",
    "We have slightly preprocessed the two datasets to have consistency in the players' names as well as including solely the columns that we would need for the purposes of this project. Also, we utilize observations where athletes have played for at least 3 minutes in a basketball game. Both of the updated versions of the datasets are available in our **repository**.\n",
    "\n",
    "We begin by reading the boxscores dataset, which includes the regular season performances for all players from season 2016-2017 up to the games played on December 25th, 2017. For games before that date, we calculated each player's total fantasy points using box score values as follows:\n",
    "\n",
    "<font size=\"3\">$FP = Points + 1.5 \\times Assists - 0.5 \\times Turnovers + Steals + 2 \\times Blocks + 1.25 \\times Rebounds + 0.5 \\times ThreePointer$</font>\n",
    "\n",
    "This value is already calculated in the **boxscores_dataset.csv** file. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "boxscores = pd.read_csv('https://raw.githubusercontent.com/Gurobi/modeling-examples/master/fantasy_basketball/boxscores_dataset.csv')     #load boxscores dataset\n",
    "# running locally\n",
    "# boxscores = pd.read_csv('boxscores_dataset.csv')     #load boxscores dataset\n",
    "boxscores = boxscores[(boxscores.playMin>=3) | (boxscores.playMin.isnull())]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In general, fantasy points are connected with features related to the utilization and efficiency of each player and we can examine some of these relationships through visualization. Below are a few scatterplots, but feel free to add more visuals to get a deeper understanding of what's happening in the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1008x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (FGA, FGM, FTM, Min) = plt.subplots(1, 4, figsize=(14,5))\n",
    "fig.tight_layout()\n",
    "\n",
    "FGA.scatter(boxscores['playFGA'], boxscores['FantasyPoints'], c='blue', alpha = .2)\n",
    "FGM.scatter(boxscores['playFGM'], boxscores['FantasyPoints'], c='lightblue', alpha = .2)\n",
    "FTM.scatter(boxscores['playFTM'], boxscores['FantasyPoints'], c='coral', alpha = .2)\n",
    "Min.scatter(boxscores['playMin'], boxscores['FantasyPoints'], c='purple', alpha = .2)\n",
    "\n",
    "FGA.set_xlabel('Field Goal Attempts')\n",
    "FGM.set_xlabel('Field Goals Made')\n",
    "FTM.set_xlabel('Free Throws Made')\n",
    "Min.set_xlabel('Minutes Played')\n",
    "\n",
    "FGA.set_ylabel('Fantasy Points');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A distribution plot of the true fantasy points of the players for the previous games is shown below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hplot = sns.histplot(boxscores['FantasyPoints'], color=\"blue\", label=\"Fantasy Points\", kde=True, stat=\"density\", linewidth=0, bins=20)\n",
    "hplot.set_xlabel(\"Fantasy Points\", fontsize = 12)\n",
    "hplot.set_ylabel(\"Density\", fontsize = 12)\n",
    "sns.set(rc={\"figure.figsize\":(14, 5)})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When building our predictive model, fantasy points scored in a game is a good target (or independent) variable. But what about the model's features?\n",
    "\n",
    "One approach is to use boxscore data for a player's previous several games to find the average of key stats over that span. We will begin with the average of the three previous games for: points, assists, turnovers, steals, blocks, total rebounds, field goal attempts, free throw attempts, 2-pointer \\%, 3-pointer \\%, free throw \\%, minutes played, days-off and the true fantasy points. \n",
    "\n",
    "For example, this calculation for the assists at the $k^{th}$ game is: \n",
    "\n",
    "<font size=\"4\">$Average \\hspace{0.1cm} Assists_k = \\frac{Assists_{k-1}+Assists_{k-2}+Assists_{k-3}}{3}$</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "horizon=3\n",
    "\n",
    "for column_name in ['playPTS','playAST','playTO','playSTL','playBLK','playTRB','playFGA','playFTA','play2P%','play3P%','playFT%','playMin','teamDayOff','FantasyPoints']:\n",
    "    boxscores['moving' + column_name] = boxscores.groupby(['playDispNm'])[column_name].transform(lambda x: x.rolling(horizon, 1).mean().shift(1))                           #lagged moving average of numeric features  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us a set of features to start with, though we still would want to perform feature selection for our predictive model. Changing the number of lag games may improve your predictive model -- so give it a try!\n",
    "\n",
    "Because we are using a lagged average, there is not any historical information for the first game played for each player, so we drop these observations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "boxscores.dropna(subset = [\"movingplayPTS\"], inplace=True)               #drop the first observation for each player"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start with feature selection, we can look at the correlation between our newly derived variables, which is shown below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc = {'figure.figsize':(15,8)})\n",
    "sns.heatmap(boxscores[['movingplayPTS', 'movingplayAST','movingplayTO','movingplaySTL','movingplayBLK','movingplayTRB','movingplayFGA','movingplayFTA','movingplay2P%','movingplay3P%','movingplayFT%','movingplayMin','movingteamDayOff','movingFantasyPoints']].corr(),annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We observe that some of the features are highly correlated. For example, the average of free throw attempts with the points average."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are also investigating the utilization of two categorical variables. Specifically, if the current game is home or away and if the player will start or come from the bench. We transform the categorical variables to 0-1 variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "boxscores['dummyTeamLoc'] = pd.get_dummies(data=boxscores['teamLoc'],drop_first=True)    #1 if the game is a home game, 0 if it is an away game\n",
    "boxscores['dummyplayStat'] = pd.get_dummies(data=boxscores['playStat'],drop_first=True)  #1 if the player starts, 0 if the player comes from the bench"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that the dataset has been updated, we move into forecasting the fantasy points for the players who are going to play on December 25, 2017."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "forecasting_data = boxscores[boxscores.gmDate != '2017-12-25']  #for model training, we exclude observation on December 25, 2017"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We split the data set using 80\\% of the data for training and 20\\% for testing. For forecasting we try three models: linear regression, a neural network and a gradient boosting regressor. In addition to the heat map, we based out statistical significance tests and looked into multicollinearity using variance inflation factors (VIF). Cross-validation is also used to identify potential overfitting.\n",
    "\n",
    "The features that will be used for our predictive models are the average of the player's: assists, turnovers, steals, blocks, total rebounds, free throw attempts, free throw %, as well as whether the player will start or will come from the bench."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = forecasting_data[['movingplayAST','movingplayTO','movingplaySTL','movingplayBLK','movingplayTRB','movingplayFTA','movingplayFT%','dummyplayStat']]  #select the features that will be used for model training\n",
    "y = forecasting_data['FantasyPoints']  #target set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=4)      #dataset splitting\n",
    "\n",
    "linear_regressor = LinearRegression()                                                         #load linear regressor\n",
    "linear_regressor.fit(X_train, y_train)                                                        #train the linear regression model\n",
    "linear_regression_validation = cross_validate(linear_regressor, X_train, y_train, cv=5, return_train_score=True, return_estimator=True)\n",
    "\n",
    "mlp = MLPRegressor(hidden_layer_sizes=(5,5), activation='relu')                               #load neural network\n",
    "mlp.fit(X_train,y_train)                                                                      #train the neural network with a ReLU function and two hidden layers with 5 nodes each\n",
    "mlp_validation = cross_validate(mlp, X_train, y_train, cv=5, return_train_score=True, return_estimator=True)\n",
    "\n",
    "gb = GradientBoostingRegressor()                                                              #load a gradient boosting regressor\n",
    "gb.fit(X_train, y_train)                                                                      #train a gradient boosting model\n",
    "gb_validation = cross_validate(gb, X_train, y_train, cv=5, return_train_score=True, return_estimator=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.50918395, 0.499014  , 0.48134143, 0.49752173, 0.5006687 ])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gb_validation['test_score']                            #print CV test score across each fold"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We observe that the model performs consistently across each of the folds. Now, to evaluate the performance of the models we calculate their mean squared error (MSE) values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Linear Regression</th>\n",
       "      <th>ReLU Neural Network</th>\n",
       "      <th>Gradient Boosting Regressor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MSE</th>\n",
       "      <td>91.077312</td>\n",
       "      <td>91.098829</td>\n",
       "      <td>90.667723</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Linear Regression  ReLU Neural Network  Gradient Boosting Regressor\n",
       "MSE          91.077312            91.098829                    90.667723"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linear_regression_predictions = linear_regressor.predict(X_test)                              #make predictions based on the test set for the linear regression model\n",
    "mlp_predictions = mlp.predict(X_test)                                                         #make predictions based on the test set for the neural network model\n",
    "gb_predictions = gb.predict(X_test)                                                           #make predictions based on the test set for the gradient boosting model\n",
    "\n",
    "linear_regression_mse = mean_squared_error(y_test, linear_regression_predictions)             #calculate the MSE for the linear regression model\n",
    "mlp_mse = mean_squared_error(y_test, mlp_predictions)                                         #calculate the MSE for the neural network model\n",
    "gb_mse = mean_squared_error(y_test, gb_predictions)                                           #calculate the MSE for the gradient boosting model\n",
    "\n",
    "results = {'Linear Regression':[linear_regression_mse],'ReLU Neural Network':[mlp_mse],'Gradient Boosting Regressor':[gb_mse]}\n",
    "modeling_results = pd.DataFrame(data=results,index=['MSE'])\n",
    "\n",
    "modeling_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each of the model types perform similarly well as shown from their mean squared error values. Also, plots of the predicted value error with respect to the predicted fantasy points are shown in the following figures:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(696.9485294117648, 0.5, 'Gradient Boosting Residual')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (LR, FNN, GBR) = plt.subplots(1, 3,figsize=(15,5));\n",
    "fig.tight_layout()\n",
    "\n",
    "LR.scatter(x = linear_regression_predictions, y = y_test - linear_regression_predictions,color='red',alpha=0.06)\n",
    "FNN.scatter(x = mlp_predictions, y = y_test - mlp_predictions, color='green',alpha=0.06)\n",
    "GBR.scatter(x = gb_predictions, y = y_test - gb_predictions, color='blue',alpha=0.06)\n",
    "\n",
    "LR.set_xlabel('Linear Regression Predicted Fantasy Points')\n",
    "FNN.set_xlabel('Neural Network Predicted Fantasy Points')\n",
    "GBR.set_xlabel('Gradient Boosting Predicted Fantasy Points')\n",
    "\n",
    "LR.set_ylabel('Linear Regression Residual')\n",
    "FNN.set_ylabel('Neural Network Residual')\n",
    "GBR.set_ylabel('Gradient Boosting Residual')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we see from the above plots and the test scores, our models can only partially explain the variance of the fantasy points. That is to be expected since there are so many factors that affect the performance of the players. By a slight margin the gradient boosting regressor had the lowest MSE, so we'll refit that model to the complete data set and use that to predict fantasy points.\n",
    "\n",
    "After that, we'll append the predicted fantasy points to the salary data to set up the optimization part of the solution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "gb_final = GradientBoostingRegressor(random_state=4)                                                             \n",
    "gb_final.fit(X, y)   \n",
    "\n",
    "optimization_dataset = boxscores\n",
    "optimization_dataset['PredictedFantasyPoints'] = gb_final.predict(boxscores[['movingplayAST','movingplayTO','movingplaySTL','movingplayBLK','movingplayTRB','movingplayFTA','movingplayFT%','dummyplayStat']]) \n",
    "\n",
    "player_results = pd.read_csv('https://raw.githubusercontent.com/Gurobi/modeling-examples/master/fantasy_basketball/target_games.csv')\n",
    "# player_results = pd.read_csv('target_games.csv')\n",
    "\n",
    "predicted_fantasy_points = (\n",
    "    optimization_dataset.query(\"gmDate == '2017-12-25'\")\n",
    "    [[\"playDispNm\", \"PredictedFantasyPoints\"]]\n",
    ")\n",
    "\n",
    "player_results = pd.merge(\n",
    "    left = player_results,\n",
    "    right = predicted_fantasy_points,\n",
    "    left_on = \"Player\",\n",
    "    right_on = \"playDispNm\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also calculate another column which is the predicted fantasy points divided by the salary of each player."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Team</th>\n",
       "      <th>Opp</th>\n",
       "      <th>Salary</th>\n",
       "      <th>PredictedFantasyPoints</th>\n",
       "      <th>Points/Salary Ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Joel Embiid</td>\n",
       "      <td>C</td>\n",
       "      <td>PHI</td>\n",
       "      <td>@ NYK</td>\n",
       "      <td>9500</td>\n",
       "      <td>51.313689</td>\n",
       "      <td>5.401441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>James Harden</td>\n",
       "      <td>PG</td>\n",
       "      <td>HOU</td>\n",
       "      <td>@ OKC</td>\n",
       "      <td>11100</td>\n",
       "      <td>48.809577</td>\n",
       "      <td>4.397259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LeBron James</td>\n",
       "      <td>SF</td>\n",
       "      <td>CLE</td>\n",
       "      <td>@ GSW</td>\n",
       "      <td>11000</td>\n",
       "      <td>48.149718</td>\n",
       "      <td>4.377247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>PG</td>\n",
       "      <td>OKC</td>\n",
       "      <td>vs HOU</td>\n",
       "      <td>10900</td>\n",
       "      <td>44.007224</td>\n",
       "      <td>4.037360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Kevin Durant</td>\n",
       "      <td>SF</td>\n",
       "      <td>GSW</td>\n",
       "      <td>vs CLE</td>\n",
       "      <td>10500</td>\n",
       "      <td>43.438575</td>\n",
       "      <td>4.137007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Player Pos Team     Opp  Salary  PredictedFantasyPoints  Points/Salary Ratio\n",
       "4        Joel Embiid   C  PHI   @ NYK    9500               51.313689             5.401441\n",
       "0       James Harden  PG  HOU   @ OKC   11100               48.809577             4.397259\n",
       "1       LeBron James  SF  CLE   @ GSW   11000               48.149718             4.377247\n",
       "2  Russell Westbrook  PG  OKC  vs HOU   10900               44.007224             4.037360\n",
       "3       Kevin Durant  SF  GSW  vs CLE   10500               43.438575             4.137007"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.expand_frame_repr', False)\n",
    "player_results['Points/Salary Ratio'] = 1000*player_results['PredictedFantasyPoints']/player_results['Salary']    #we multiple the fantasy vs salary ratio by 1000 for better visualization\n",
    "player_results.sort_values(by='PredictedFantasyPoints',ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So how many potential lineups are there? A lot. \n",
    "\n",
    "$24PG \\times 22SF \\times 22SG \\times 19PF \\times 9C = 1,986,336$ combinations\n",
    "\n",
    "Using brute force to calculate the total fantasy points for each lineup would take a very, very long time. We also need to consider the salary constraint (e.g. $30,000). A greedy approach (i.e. always taking the best player available) would select the first three players that have the highest fantasy points (Embiid, James, and Harden), but then realize that the salary cap will be violated. Using the points to salary ratio can also lead to the same issue.   \n",
    "\n",
    "This is where optimization becomes most advantageous, due to its ability to efficiently explore the space of options in a very efficient manner and provably showing you have an optimal solution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Optimal Lineup Selection </h3>\n",
    "\n",
    "Now that we have predictions for the players in our slate of NBA games we can work on determining our optimal lineup.\n",
    "\n",
    "First, we'll make some definitions as these are helpful for us to set up our optimization model. For starters, the subscript $i$ will be used to denote individual players across the set of all players we can choose from.\n",
    "\n",
    "**Input Parameters**\n",
    "\n",
    "$p_{i}$: the predicted fantasy points of player $i$ \n",
    "\n",
    "$s_{i}$: the salary of player $i$ \n",
    "\n",
    "$S$: our total available salary\n",
    "\n",
    "Here is the code to set up the indices and parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "indices = player_results.Player\n",
    "points = dict(zip(indices, player_results.PredictedFantasyPoints))\n",
    "salaries = dict(zip(indices, player_results.Salary))\n",
    "S = 30000\n",
    "\n",
    "m = gp.Model();        # this defines the model that we'll add to as we finish the formulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Decision Variables**\n",
    "\n",
    "The goal of this problem is to determine whether each player is in our final lineup. This an example of when *binary variables* are used in optimization, to represent a **yes** or **no** decision we want to make. This is modeled as $y_{i} = 1$: if player $i$ is selected; and $y_{i} = 0$ otherwise.\n",
    "\n",
    "Here is where we add a set of decision variables to our model in gurobipy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = m.addVars(player_results.Player, vtype=gp.GRB.BINARY, name=\"y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Objective Function**\n",
    "\n",
    "The objective of our problem is to maximize the total fantasy points of our lineup. Since we are using binary variables, if a player is selected ($y_{i} = 1$), then their predicted points will contribute to our lineup using $p_{i} \\cdot y_{i}$. If $y_{i} = 0$ then $p_{i} \\cdot y_{i} = 0$ as well. Summing across all players will give us the function to maximize, written as:\n",
    "\n",
    "\\begin{align}\n",
    " Max \\hspace{0.2cm} Z = \\sum p_{i} \\cdot y_{i}\n",
    "\\end{align}\n",
    "\n",
    "Below is one way to write a summation using the quicksum function in gurobypi (you can get other ways to work) which we add to our model as the objective:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# since we are maximizing points the last argument here is GRB.MAXIMIZE\n",
    "m.setObjective(gp.quicksum(points[i]*y[i] for i in indices), gp.GRB.MAXIMIZE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Constraints**\n",
    "\n",
    "We need to guarantee that each position has exactly one player assigned. Since our decision variables are each 0 or 1, we can model this by adding a constraint for each position summing across the eligible players (and decision variables) requiring that sum to be equal to 1:\n",
    "\n",
    "\\begin{align}\n",
    "\\sum_{i \\space eligible} y_{i} = 1\n",
    "\\end{align}\n",
    "\n",
    "Looping over the positions will add a constraint for each while the condition in the quicksum function will tell the model to only sum over players if they are eligible for that position: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "player_position_map = list(zip(player_results.Player, player_results.Pos))\n",
    "for j in player_results.Pos:\n",
    "    m.addConstr(gp.quicksum([y[i] for i, pos in player_position_map if pos==j])==1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Additionally, we need to ensure that the total salary must not exceed a certain threshold:\n",
    "\n",
    "\\begin{align}\n",
    "\\sum s_{i} \\cdot y_{i} \\leq S\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "m.addConstr(gp.quicksum(salaries[i]*y[i] for i in indices) <= S, name=\"salary\");       \n",
    "#the budget for the selected team must not exceed 30,000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we've added all of the required parts to our optimization model and we are ready to solve. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n",
      "\n",
      "CPU model: 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz, instruction set [SSE2|AVX|AVX2|AVX512]\n",
      "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n",
      "\n",
      "Optimize a model with 97 rows, 96 columns and 2082 nonzeros\n",
      "Model fingerprint: 0xb9f2d21c\n",
      "Variable types: 0 continuous, 96 integer (96 binary)\n",
      "Coefficient statistics:\n",
      "  Matrix range     [1e+00, 1e+04]\n",
      "  Objective range  [7e+00, 5e+01]\n",
      "  Bounds range     [1e+00, 1e+00]\n",
      "  RHS range        [1e+00, 3e+04]\n",
      "Found heuristic solution: objective 126.1046919\n",
      "Presolve removed 91 rows and 57 columns\n",
      "Presolve time: 0.00s\n",
      "Presolved: 6 rows, 39 columns, 78 nonzeros\n",
      "Found heuristic solution: objective 156.7777076\n",
      "Variable types: 0 continuous, 39 integer (39 binary)\n",
      "\n",
      "Root relaxation: objective 1.736178e+02, 7 iterations, 0.00 seconds (0.00 work units)\n",
      "\n",
      "    Nodes    |    Current Node    |     Objective Bounds      |     Work\n",
      " Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n",
      "\n",
      "     0     0  173.61779    0    2  156.77771  173.61779  10.7%     -    0s\n",
      "H    0     0                     171.9189291  173.61779  0.99%     -    0s\n",
      "     0     0  172.93546    0    4  171.91893  172.93546  0.59%     -    0s\n",
      "\n",
      "Cutting planes:\n",
      "  Gomory: 1\n",
      "  GUB cover: 1\n",
      "\n",
      "Explored 1 nodes (10 simplex iterations) in 0.03 seconds (0.00 work units)\n",
      "Thread count was 8 (of 8 available processors)\n",
      "\n",
      "Solution count 3: 171.919 156.778 126.105 \n",
      "\n",
      "Optimal solution found (tolerance 1.00e-04)\n",
      "Best objective 1.719189291363e+02, best bound 1.719189291363e+02, gap 0.0000%\n"
     ]
    }
   ],
   "source": [
    "m.optimize()  #we optimize our model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Much of the output above can be ignored for now, but will provide valuable information as you create larger and more complicated models. Let's focus on the last two lines which says an optimal solution was found and its objective value. \n",
    "\n",
    "We need to extract the solution from the model to find which players are selected. Using getVars() gets the value of each decision variable, so we loop through the decision variables checking if its value (using .x) is greater than 0. While in the loop we record info about each player selected in a data frame. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y[Joel Embiid] 1.0\n",
      "y[Dario Saric] 1.0\n",
      "y[Trevor Ariza] 1.0\n",
      "y[Jarrett Jack] 1.0\n",
      "y[Markieff Morris] 1.0\n",
      "Total fantasy score:  171.91892913632245\n"
     ]
    }
   ],
   "source": [
    "vars = m.getVars()\n",
    "\n",
    "results = (\n",
    "    player_results\n",
    "    .iloc[[v.index for v in vars if v.x > 1e-6]]\n",
    "    [['Player','Pos','PredictedFantasyPoints','Salary']]\n",
    ")\n",
    "for i in results.index:\n",
    "    print(vars[i].varname, vars[i].x)\n",
    "\n",
    "print('Total fantasy score: ', m.objVal)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because the games were played, we also look up the true fantasy points of the players selected for the games on December 25, 2017, and we add that to our results dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>Pos</th>\n",
       "      <th>PredictedFantasyPoints</th>\n",
       "      <th>Salary</th>\n",
       "      <th>True Fantasy Points</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Joel Embiid</td>\n",
       "      <td>C</td>\n",
       "      <td>51.313689</td>\n",
       "      <td>9500.0</td>\n",
       "      <td>53.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Dario Saric</td>\n",
       "      <td>PF</td>\n",
       "      <td>40.505486</td>\n",
       "      <td>6200.0</td>\n",
       "      <td>17.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Trevor Ariza</td>\n",
       "      <td>SG</td>\n",
       "      <td>26.354157</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>28.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Jarrett Jack</td>\n",
       "      <td>PG</td>\n",
       "      <td>27.780012</td>\n",
       "      <td>4600.0</td>\n",
       "      <td>15.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Markieff Morris</td>\n",
       "      <td>SF</td>\n",
       "      <td>25.965585</td>\n",
       "      <td>4400.0</td>\n",
       "      <td>29.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Player Pos  PredictedFantasyPoints  Salary  True Fantasy Points\n",
       "4       Joel Embiid   C               51.313689  9500.0                53.50\n",
       "19      Dario Saric  PF               40.505486  6200.0                17.25\n",
       "36     Trevor Ariza  SG               26.354157  5000.0                28.50\n",
       "43     Jarrett Jack  PG               27.780012  4600.0                15.50\n",
       "49  Markieff Morris  SF               25.965585  4400.0                29.25"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results['True Fantasy Points'] = [53.5,17.25,28.5,15.5,29.25]\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The best total fantasy points based on *this initial set* of predictions is **$171.92$** by selecting **Jarrett Jack** at point guard, **Trevor Ariza** for small guard, **Markieff Morris** to be the shooting forward, **Dario Saric** as power forward and **Joel Embiid** to be the center of our team, with a total salary of $\\$29,700$, \n",
    "\n",
    "Let's quickly revisit the idea of putting together a lineup in a *greedy* fashion, meaning we start with the *best available* choice and repeat. Notice that players we predicted to have very high scoring games, such as James Harden or Lebron James, didn't make the optimal roster, so going after just the high scorers can be suboptimal. \n",
    "\n",
    "If you were to re-sort the salary table by the ratio of predicted points to salary, we'd see PF Jordan Bell and PG Josh Hart atop the list. But neither of those players are in the optimal lineup as well, so even using that metric can lead to a suboptimal solution.\n",
    "\n",
    "This shows the power of mathematical optimization. Our simple model was able to consider over 2 million possibilities and arrive at an optimal solution that would have been overlooked if we were to apply some intuitive decision rules when creating a lineup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Freeing default Gurobi environment\n"
     ]
    }
   ],
   "source": [
    "m.dispose()\n",
    "gp.disposeDefaultEnv()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Conclusion </h2>\n",
    "\n",
    "In this example you learned how to optimize your basketball lineup in the context of fantasy sports. Starting with box score data, we constructed models that predict the future fantasy points of NBA athletes and then developed an optimization formulation to calculate the best lineup subject to budget and position eligibility constraints. \n",
    "\n",
    "Through this example, our aim was to clearly present some of the connections between data science and mathematical optimization by starting with data and ending with a decision. We also saw how easy it is to make suboptimal decisions even when applying sensible rules. \n",
    "\n",
    "We also have a more advanced fantasy basketball problem that uses the same predictive element but expands the optimization component to reflect real fantasy basketball contests from popular sites. "
   ]
  }
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